Speak-Correct: A Computerized Interface for the Analysis of Mispronounced Errors Kamal Jambi 1,* , Hassanin Al-Barhamtoshy 1 , Wajdi Al-Jedaibi 1 , Mohsen Rashwan 2 and Sherif Abdou 3 1 Faculty of Computing & Information Technology, King Abdulaziz University, Saudi Arabia 2 Faculty of Engineering, Cairo University, Egypt 3 Faculty of Computers, Cairo University, Egypt *Corresponding Author: Kamal Jambi. Email: kjambi@kau.edu.sa Received: 06 November 2021; Accepted: 09 December 2021 Abstract: Any natural language may have dozens of accents. Even though the equivalent phonemic formation of the word, if it is properly called in different accents, humans do have audio signals that are distinct from one another. Among the most common issues with speech, the processing is discrepancies in pronun- ciation, accent, and enunciation. This research study examines the issues of detecting, fixing, and summarising accent defects of average Arabic individuals in English-speaking speech. The article then discusses the key approaches and structure that will be utilized to address both accent flaws and pronunciation issues. The proposed SpeakCorrect computerized interface employs a cutting- edge speech recognition system and analyses pronunciation errors with a speech decoder. As a result, some of the most essential types of changes in pronunciation that are significant for speech recognition are performed, and accent defects defin- ing such differences are presented. Consequently, the suggested technique increases the Speaker ’s accuracy. SpeakCorrect uses 100 h of phonetically prepared individuals to construct a pronunciation instruction repository. These prerecorded sets are used to train Hidden Markov Models (HMM) as well as weighted graph systems. Their speeches are quite clear and might be considered natural. The proposed interface is optimized for use with an integrated phonetic pronounced dataset, as well as for analyzing and identifying speech faults in Saudi and Egyptian dialects. The proposed interface detects, analyses, and assists English learners in correcting utterance faults, overcoming problems, and improving their pronunciations. Keywords: Speech recognition; computerized interface; arabic dialects; accent defects; acoustic error 1 Introduction As english has become a global language, several people are learning and speaking it. Among the most prevalent, but extremely complicated, activities to address when learning English as an additional language is This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Computer Systems Science & Engineering DOI: 10.32604/csse.2022.024967 Article ech T Press Science